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Hi @A3EKV, thanks for using PyDMD and for the good question! But as you pointed out, the simulation is actually a steady-state one, that means that the different snapshots are the solution at different iterations of the solver. We read again the tutorial and this is not well explained so we will integrate asap! Playing with prediction is in this sense phisically meaningless since it's not a dynamical system, but it implicitly reveals one of the capability of DMD: even in this case in fact, assuming the evolution of iterative solver will converge to the steady solution, we can collect some snapshots and build the DMD to predict the solution (or a guess to plug inside the solver) to accelerate everything! |
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Hello, |
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Hello,
I am exploring this project, and even though I don't yet think I fathom the concepts, but the project seems great!
I have some questions about the tutorial 5:
simpleFoamwhich a steady-state solver so my guess is that the snapshots of data (in csv files) correspond to iterations?Thank you very much
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